Draft guides, templates, and practical resources for organizations exploring implementation of the HAIIS framework
The six-step implementation model below illustrates how organizations may apply HAIIS framework components in practice
Identify the specific healthcare AI application, data types, and regulatory requirements
Choose the appropriate architecture pattern based on your regulatory needs (HIPAA, GxP, FDA)
Apply the security control mapping system to your chosen cloud platform
Implement data governance protocols for sensitive healthcare data management
Complete the AI risk assessment methodology for healthcare-specific risks
Follow the implementation playbook for step-by-step deployment guidance
Templates, checklists, and worksheets under development
Quickstart guide for early framework exploration
Draft checklist covering the five core components
Sample risk worksheet for healthcare AI review
Draft architecture template for regulated AI workflows
Compliance-by-design blueprints for common AI use cases
Cross-cloud security mappings and implementation guides
Data governance protocols and access control templates
Healthcare-specific AI risk assessment tools
Implementation and validation checklists
Definitions of key terms and concepts